Thorup-Zwick Emulators are Universally Optimal Hopsets
April 30, 2017 · Declared Dead · 🏛 Information Processing Letters
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Shang-En Huang, Seth Pettie
arXiv ID
1705.00327
Category
cs.DS: Data Structures & Algorithms
Citations
44
Venue
Information Processing Letters
Last Checked
3 months ago
Abstract
A $(β,ε)$-$\textit{hopset}$ is, informally, a weighted edge set that, when added to a graph, allows one to get from point $a$ to point $b$ using a path with at most $β$ edges ("hops") and length $(1+ε)\mathrm{dist}(a,b)$. In this paper we observe that Thorup and Zwick's $\textit{sublinear additive}$ emulators are also actually $(O(k/ε)^k,ε)$-hopsets for every $ε>0$, and that with a small change to the Thorup-Zwick construction, the size of the hopset can be made $O(n^{1+\frac{1}{2^{k+1}-1}})$. As corollaries, we also shave "$k$" factors off the size of Thorup and Zwick's sublinear additive emulators and the sparsest known $(1+ε,O(k/ε)^{k-1})$-spanners, due to Abboud, Bodwin, and Pettie.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
📜 Similar Papers
In the same crypt — Data Structures & Algorithms
📚
📚
The Cartographer
R.I.P.
👻
Ghosted
Route Planning in Transportation Networks
R.I.P.
👻
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
👻
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
👻
Ghosted
Graph Isomorphism in Quasipolynomial Time
📚
📚
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way — 👻 Ghosted
R.I.P.
👻
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
👻
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
👻
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
👻
Ghosted